Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Self-organizing maps (SOMs)"”.
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Development of mass spectrometry based technologies for quantitative cell signaling phosphoproteomics : the epidermal growth factor receptor family as a model system
… epidermal growth factor receptor (EGFR) family. Self organizing maps (SOMs) analysis of our data has highlighted potential biological functions for phosphorylation sites previously unrelated to EGFR signaling and identified network modules regulated by different combinations of EGFR family …
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Assisted auscultation : creation and visualization of high dimensional feature spaces for the detection of mitral regurgitation
… using component Analysis. Our system employs self-organizing maps (SOMs) to depict the distribution of patients in each feature space as labels within a two-dimensional colored grid. A user screens new patients by viewing their projections onto the SOM, and determining whether they are closer …
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Neuroengineering of Clustering Algorithms
… of enhancements to data visualization using self-organizing maps (SOMs) by depicting in the reduced dimension and topology-preserving SOM grid information-theoretic similarity measures between neighboring neurons. This visualization's parameters are estimated using samples selected via a …
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Efficient Identification and Comprehension of Molecular Pathways Associated with Irradiation Induced Hepatic Carcinogenesis
… of these transcripts were investigated using Self-Organizing Maps (SOMs). Finally, we used MALDI-MSI to identify lipid changes 12 months post-exposure to low dose 28Si and 137Cs γ rays’ irradiation. We identified a number of lipid species; in particular, we have confirmed the identity of GSL; …
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Arctic synoptic activity associated with sea ice variability using self-organizing maps
… ice variability in the Arctic are studied using self-organizing maps (SOMs) to categorize observed weather patterns over the 1979-2010 period. The European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-interim, or ERAI) provides the daily sea level pressures from which the …
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Using Self-Organizing Maps to Calculate Chilling Hours as an Indicator of Temperature Shifts During Winter in the Southeastern United States
… spring emergence. This project involves training self-organizing maps (SOMs) to identify periods of anomalous winter warming based on a reduced number of chill hours within a 5-day temporal period compared to the period's climatological average. A second SOM is nested in the node that produced the …
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Analyzing Freight Congestion and Transportation Performance Measures Using the National Performance Management Research Data Set (NPMRDS)
… unsupervised machine learning method, Self-Organizing Maps (SOMs), is applied to classify weather attributes. The last phase is performance based (using TTI, PTI, BI, TED obtained in previous research) classification of segments by using SOMs, and cases studies for labelled groups.</p>
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The synoptic drivers of extreme rainfall in South Africa
… the driving synoptics of extreme rainfall. Self-organizing maps (SOMs) were used to characterize the synoptic circulations on a general country-wide scale as well as for 8 different regional rainfall regimes at a seasonal scale. Synoptic circulations associated with extreme rainfall events …
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Single-cell analysis of hematopoietic cell fate on niche-mimetic platforms using Raman microspectroscopy
… or their combinations which drive quiescence, self-renewal and differentiation in vitro while reducing the numbers of rare cell populations required for testing. Screening approaches rely on accurate identification of specific stem cell outcomes in order to correlate extrinsic cues with the …
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Recognition and investigation of temporal patterns in seismic wavefields using unsupervised learning techniques
… to be recognized or discriminated. We use Self-Organizing Maps (SOMs) for a data-driven feature selection, visualization and clustering procedure, which is particularly suitable for high-dimensional data sets. Using synthetics composed of Rayleigh and Love waves and three different types of …